PHM Technology Demonstration

The PHM Society provides an opportunity for participants to showcase their diagnostic, prognostic and health management engineering approaches through PHM Technology Demonstrations. The concept behind the demonstrations is to offer an interactive learning experience for attendees. Multiple daily demonstrations will be given as hands-on tutorials to small groups. Each demo will last for approximately 30 minutes. Attendees will be encouraged to participate and ask questions.

PHM Technology Demonstration Attendance Sign-Up Process
All conference participants are invited to attend the interactive, hands-on technology demonstrations. There are eight different demonstrations from which to choose (see below for details). Each demonstration will be presented twice throughout the conference. Due to limited seating space, attendees MUST sign-up in advance at the conference registration desk. Time slots are allotted to attendees on a first come first serve basis on the sign-up sheet.

Demontration Topic Details

This demonstration will focus on the development, operating principles, and experimental operation of a set of uniquely identifiable, wirelessly interrogable, passive surface acoustic wave (SAW) temperature sensors. A prototype wireless interrogation system capable of reading the set of sensors and interpreting individual sensor responses will be used. The system will also identify sensors in the target group that are missing from the field of view. Additional SAW sensor capabilities and the potential for application in health management systems will be discussed.
Attendees will have the opportunity to operate the sensor system via the software interface, to heat and cool individual sensors to observe changes in measured temperature, and to remove or add sensors to the field of view (to observe automatic system detection).

This demonstration will use an Analytical Signal Processing Workbench to identify and characterize faults in complex mechanical systems. The extensible workbench provides researchers and engineers a means to develop, execute, test, visualize, and evaluate various signal processing, feature extraction, and classification algorithms in an offline environment for later online analysis of system health and fault detection.
Attendees will have the opportunity to decide which classifier and supporting features to use, and they will utilize the visualization capabilities to identify some relevant characteristics in the signals that may indicate mechanical faults. Finally, those in attendance we will help execute the new classifier in a simulator to review the online analysis process.

This demonstration will show how NormNet® PHM software can:
- accept data from different systems, sensors and data source
- compute and report the real-time health status of a system
- determine and report the most probable cause of the potential failure
- present a variety of information for use by the engineering and operations staff
The demonstration will also show how the collaborative work flows can be used to add new capabilities, reconfigure existing ones and optimize the processing for specific equipment configurations.

Attendees will have the opportunity to see how data-derived algorithms and processes can be applied rapidly to existing sensor configurations and provide early warning indicators in advance of current threshold or related detection systems.

This demonstration will introduce the IMS Center’s Watchdog Agent™, www.imscenter.net, and its approach to integrated prognostics. It will demonstrate a COTS platform for integrating a prognostics system. Signal processing options for feature extraction will also be demonstrated.

Attendees will have the opportunity to use a notebook computer to evaluate training data used in classification of field testing data. Each attendee will be able to perform feature extraction, and feature selection to configure the sample prognostics system. Results of classification and health prediction are then visualized on the computer screens.

Presenter: Dr. Michael Usrey, Sporian Microsystems, Inc.

This demonstration will feature a PHM sensor suite and software to display the collected PHM data. Ultra low power, smart sensors for PHM applicable for forward fit and retrofit applications will be illustrated. The demonstration will be fully interactive including temperature and humidity measurements, inertial measurements, and over-the-air programming of smart-sensor parameters. Parameters such as sensor polling frequency and alarm threshold will be interactively varied. Design tradeoffs necessary to achieve a wireless sensor network with microamp quiescent and time averaged power requirements will also be demonstrated.
Attendees will have the opportunity to select and vary numerous measurements. They will use one screen to see the stream of data that is being generated by the sensor suite. Another screen will graphically depict data from the integrated temperature and relative humidity sensors.

Presenter: Alan L. Lesmerises, StandardAero Engineering Services

This demonstration will revolve around illustrative examples of how this maintenance optimization methodology can be applied to a real-world system (namely, a jet engine). Along the way, comparisons to other applications (such as some types of ground vehicles, ships, certain industrial situations, or nuclear power plants) will also be provided. The demonstration will then cover system reliability modeling and how such models can be used to estimate system life expectancies. Then, by associating the life expectancy with the costs incurred for each work scope, we will show how the “optimum” works cope can be readily identified.

Attendees will have the opportunity to choose the ways the system experiences a simulated failure. They will also be able to change the amounts of operating time accumulated by various system components, and see how maintenance recommendations are affected.

Presenter: Jeff Demo, Luna Innovations Incorporated

This demonstration will provide a comprehensive demonstration of the LS2A wired and wireless corrosion monitoring sensor nodes that have been successfully deployed on a number of military rotorcraft. The system consists of a set of sensors for measurements of relative humidity, air and surface temperature, solution conductivity, and aluminum corrosion rate, all of which will be exercised to provide real‐time responses from the system. The demonstration will focus on the process of setting up the sensor nodes, activating measurements, and collecting and analyzing stored data all via an easy to operate graphical user interface.

Attendees will have the opportunity to utilize environmental stimulants such, as salt solutions, to excite corrosion rate and conductivity sensors. They will be instructed on the method of downloading stored data and using the LS2A user interface to analyze environmental severity. By the completion of the session, attendees will have demonstrated the capability to configure, operate, collect data, and analyze results retrieved from the LS2A Corrosion Monitoring system.

Presenter: Douglas Brown, Analatom, Inc.

This demonstration will show how a wireless corrosion sensor network can be used to collect, analyze, diagnose and predict the state of corrosion for a monitored structure in aerospace and petrochemical industries. Data will be collected in real-time using a test-bench consisting of a coated pipe with coating defects both with and without cathodic protection. The demo will conclude with a brief discussion of aerospace applications.

Attendees will have the opportunity to assist in the data acquisition from wireless sensors, the preprocessing and the analysis of sensor data.